Summary
This paper presents a hybrid multi-criteria decision-making (MCDM) model for systematically evaluating railway infrastructure manager performance in response to sector liberalisation and sustainability demands. The approach integrates fuzzy Delphi aggregation of expert judgements on KPI importance with extended fuzzy analytic hierarchy process weighting and ADAM-based ranking methods. The framework provides a structured basis for performance analysis, comparison, and strategic planning within the railway sector.
UK applicability
The MCDM methodology may be applicable to UK railway infrastructure management under Network Rail and other operators, though the specific KPI weightings and geographic/operational contexts would require adaptation to UK regulatory frameworks, track standards, and service objectives.
Key measures
Key performance indicators (KPIs) for railway infrastructure managers; relative weights determined through fuzzy AHP; RIM performance rankings via ADAM method
Outcomes reported
The study developed and applied a novel hybrid fuzzy MCDM model integrating fuzzy Delphi, extended fuzzy AHP, and ADAM methods to evaluate key performance indicators (KPIs) for railway infrastructure managers. The framework enables detailed analysis, comparison, and ranking of RIM performance across multiple operational dimensions.
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